Data validation

What is Data validation? (Definition)

Data validation is the process of checking information to make sure it is accurate, complete, and correctly formatted. It acts as a filter when you add new products, import files, or send data to a webshop. You can set specific rules to catch mistakes before they cause problems for your business. Common checks include: * Ensuring a price is a number rather than text. * Checking that a SKU follows your company naming pattern. * Confirming a product weight stays within a realistic range. * Verifying that descriptions exist for every required language. This process keeps your database clean and prevents customers from seeing incorrect information. WISEPIM automates these checks to help you maintain high data quality across all your sales channels.

Why Data validation is Important for E-commerce

Data validation is a process that checks product information for errors or missing details. It acts as a filter to stop incorrect data from reaching your online store. This process helps reduce customer returns and complaints. For example, if a description lists the wrong size, a customer will likely return the item. Returns cost your business money and hurt your reputation. A PIM system uses specific rules to check all incoming data automatically. WISEPIM automates these checks to ensure every price and specification is correct before it goes live.

Examples of Data validation

• 1This rule checks that all product prices are positive numbers. It also ensures they use the correct currency format.
• 2This check confirms that every product image link works. It makes sure the link leads to a real image file.
• 3This rule requires you to pick a brand name from a list of approved options.
• 4This check ensures a new product's launch date is in the future and not in the past.
• 5This rule ensures every product has a unique SKU. It prevents two different items from sharing the same code.